Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
-
: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
-
strain theory and advanced hyper elastic material models incl. anisotropy You preferably have insights into topology optimization and/or finite element analysis and are committed to improving state
-
master’s thesis as part of their master’s degree and been awarded a grade of B or better. The requirement for a grade of B or better for the master’ thesis cannot be waived for this category of applicants
-
include Master’s-level in Mechanical Engineering, Aerospace Engineering, Control Engineering, Wind Energy, or a closely related field. Strong background in control theory, fluid dynamics, structural
-
and the ability to develop relevant theories and methodologies. Strong competencies in product assembly/disassembly, manufacturing, platform design, and robotics Experience with Digital Advanced Product
-
, theory, and methods of the PhD project is up to the candidate. It is highly recommended that interested candidates contact one of the project leads to discuss their PhD proposal prior to application